Computational bounce flash for indoor portraits
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2017
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| Online Access: | http://hdl.handle.net/1721.1/111928 |
| _version_ | 1826199542961274880 |
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| author | Murmann, Lukas |
| author2 | Frédo Durand. |
| author_facet | Frédo Durand. Murmann, Lukas |
| author_sort | Murmann, Lukas |
| collection | MIT |
| description | Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. |
| first_indexed | 2024-09-23T11:22:00Z |
| format | Thesis |
| id | mit-1721.1/111928 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:22:00Z |
| publishDate | 2017 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1119282019-04-11T07:15:19Z Computational bounce flash for indoor portraits Murmann, Lukas Frédo Durand. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 31-33). Portraits taken with direct flash look harsh and unflattering because the light source comes from a small set of angles very close to the camera. Advanced photographers address this problem by using bounce flash, a technique where the flash is directed towards other surfaces in the room, creating a larger, virtual light source that can be cast from different directions to provide better shading variation for 3D modeling. However, finding the right direction to point a bounce flash towards requires skill and careful consideration of the available surfaces and subject configuration. Inspired by the impact of automation for exposure, focus and flash metering, we automate control of the flash direction for bounce illumination. We first identify criteria for evaluating flash directions, based on established photography literature, and relate these criteria to the color and geometry of a scene. We augment a camera with servomotors to rotate the flash head, and additional sensors (a fisheye and 3D sensors) to gather information about potential bounce surfaces. We present a simple numerical optimization criterion that finds directions for the flash that consistently yield compelling illumination and demonstrate the effectiveness of our various criteria in common photographic configurations. by Lukas Murmann. S.M. 2017-10-18T15:10:25Z 2017-10-18T15:10:25Z 2017 2017 Thesis http://hdl.handle.net/1721.1/111928 1005737144 eng MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission. http://dspace.mit.edu/handle/1721.1/7582 33 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Murmann, Lukas Computational bounce flash for indoor portraits |
| title | Computational bounce flash for indoor portraits |
| title_full | Computational bounce flash for indoor portraits |
| title_fullStr | Computational bounce flash for indoor portraits |
| title_full_unstemmed | Computational bounce flash for indoor portraits |
| title_short | Computational bounce flash for indoor portraits |
| title_sort | computational bounce flash for indoor portraits |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/111928 |
| work_keys_str_mv | AT murmannlukas computationalbounceflashforindoorportraits |